Data visualization software enginner: working to make visualization more accessible, equitable, and impactful.
sankey = {
const sankey = d3.sankey()
.nodeId(d => d.name)
.nodeAlign(d3[`sankey${align[0].toUpperCase()}${align.slice(1)}`])
.nodeWidth(15)
.nodePadding(10)
.extent([[1, 5], [width - 1, height - 5]]);
return ({nodes, links}) => sankey({
nodes: nodes.map(d => Object.assign({}, d)),
links: links.map(d => Object.assign({}, d))
});
}
format = {
const format = d3.format(",.0f");
return data.units ? d => `${format(d)} ${data.units}` : format;
}
color = {
const color = d3.scaleOrdinal(d3.schemeCategory10);
return d => color(d.category === undefined ? d.name : d.category);
}
data = {
const links = d3.csvParse(await FileAttachment("energy.csv").text(), d3.autoType);
const nodes = Array.from(new Set(links.flatMap(l => [l.source, l.target])), name => ({name, category: name.replace(/ .*/, "")}));
return {nodes, links, units: "TWh"};
}
width = 954
height = 600
d3 = require("d3@5", "d3-sankey@0.12")
// import { callout } from "@d3/line-chart-with-tooltip"
html`
<style>
svg text, svg rect {
cursor:pointer;
}
</style>
`
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
